#30daysofdataanalysis Etiketinde En Popüler Paylaşımlar
The 30 Days Data Challenge for our newest cohort is live let's see what you've got . 🔥🙌
#30DaysChallenge
#DataChallenge
#30DaysofDataAnalysis
#30DaysofDatawithNetisensict

Day 22 of #30DaysOfDataAnalysis
Harness the power of Pandas DataFrames for data analysis.
Learn how to manipulate and analyze large datasets with ease.
df = pd.DataFrame(data)
summary = df.describe()
Get a summary of your data with Pandas' describe method.
#Python, #BI, #Excel
Day 16 of #30DaysOfDataAnalysis
Combine power of Excel-Python for data analysis.
Automate Excel tasks and perform advanced analytics with Python scripts faster
import openpyxl
wb = openpyxl.load_workbook('report.xlsx')
sheet = https://t.co/wNgbzNXWoU
sheet['A1'] = 'Auto Report'
Day 15 of #30DaysOfDataAnalysis
Advanced Data Visualization with Matplotlib:
Create advanced viz using Matplotlib. Learn to customize your plots
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 100)
y = np.sin(x)
https://t.co/11mwEmHCYR()
Day 6 of #30DaysOfDataAnalysis
Go beyond basic queries with advanced SQL
SELECT name, department, salary,
RANK() OVER (PARTITION BY department ORDER BY salary DESC) as rank
FROM employees;
Rank employees by salary within each department using window functions.
#SQL, #DataViz
Day 1 of #30DaysOfDataAnalysis
#SQL is powerful tool for data analysis! Learn how to write efficient queries to extract meaningful insights from your datasets.
SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department;
Counts the number of emp in each dep
Day 6 #30daysofcode #30daysofdataanalysis
Learned the concept of filtering in Pandas and also little bit concept of Updating datas in pandas like renaming columns
#Python #progr

#30daysofcode #30daysofDataAnalysis
Day 5 Today learned the concept of Indexing in Pandas Library as today was very hectic schedule i learned this much only

#30daysofcode #30daysofdataanalysis
revised the new concepts of PANDAS(Python Library) from new Playlist
and now will be studying from that playlist onlyy
#Python #pythonprogramming

Day 3:-
Learned Data Cleaning in Pandas including how to drop Null Values in a dataset and also how to correct date format in dataset
Today also attended the live master class today about Data Analysis using Tableau
#30daysofcode #30daysofdataanalysis
#python

#30daysofcode #30daysofdataanalysis
Day 1 Started Learning the Python Data Science Library called Pandas where I learned the basics of series and dataframes and also how to load csv files into dataframes
Here is the playlist I followed:-

"Day 7 of #30DaysofDataAnalysis and I'm loving every minute of it! Today, I dove into a hotel reservation dataset and applied some #MachineLearning magic. Check out my Jupyter notebook on GitHub for a closer look: https://t.co/dfHA9M5xip #DataScience #DataAnalysis #EDA #AI"
Sotwe'de En Son Görülen Etiketler
diasporamania
Son görüldüğü yer United States
MN942RU
Son görüldüğü yer United States
PresentADay
Son görüldüğü yer United States
zorla sex
Son görüldüğü yer Turkey
cocacola
Pilotsontwitter
Son görüldüğü yer United States
pedagolabessec
Son görüldüğü yer Australia
teenageee
Son görüldüğü yer United Kingdom
eskisehirtraveſti
Son görüldüğü yer Turkey
snapchat
Senin İçin Trendler
En Popüler Kullanıcılar

Elon Musk 
@elonmusk
241.7M takipçi

Barack Obama 
@barackobama
119M takipçi

Cristiano Ronaldo 
@cristiano
114.5M takipçi

Donald J. Trump 
@realdonaldtrump
111.9M takipçi

Narendra Modi 
@narendramodi
107.2M takipçi

Rihanna 
@rihanna
98.7M takipçi

NASA 
@nasa
92.4M takipçi

Justin Bieber 
@justinbieber
91.8M takipçi

KATY PERRY 
@katyperry
90M takipçi

Taylor Swift 
@taylorswift13
84M takipçi

Lady Gaga 
@ladygaga
75.4M takipçi

Virat Kohli 
@imvkohli
73.4M takipçi

Kim Kardashian 
@kimkardashian
70.9M takipçi

YouTube 
@youtube
68.8M takipçi

Neymar Jr 
@neymarjr
66.4M takipçi

Bill Gates 
@billgates
65.2M takipçi

Selena Gomez 
@selenagomez
63.1M takipçi

The Ellen Show
@theellenshow
62.3M takipçi

CNN 
@cnn
61.8M takipçi

X 
@x
60.7M takipçi














